Course Objectives

The students will learn systems theory of dynamic systems, and methods and tools for design and simulation of process control systems.

Course Description

Importance of control engineering for solving process and environmental problems. Mathematical modelling of physical processes. System theory of dynamic systems. PID control. Cascade control. Feedforward control. Predictive control. Control structures for industrial processes. Logical and sequential control using PLCs. Automation technology. Using LabVIEW for analysis, design, simulation, and implementation. Introduction to HYSYS simulations of industrial plants.

Learning Methods

Lectures. Theoretical exercises. Computer exercises. Working in groups on laboratory and simulation assignments, involving report writing and plenary presentation.

Assessment Methods

Evaluation (final grade) is based on parts 1, 2, and 3 as defined in the following: (1) Practical projects (laboratory work) with reports in student groups (20% weight, common grade for all students in the group). (2) Individual simulation project with report (30% weight). (3) Individual written exam (50% weight). In addition there are compulsory activities (e.g. using PC for physical input/ouput and HYSYS simulation). All of parts 1, 2, and 3 must be passed, and the participation on the compulsory activities must be approved, to get a final grade better than F.

Home page of PEF3006 Process Control (also available in Fronter)

Minor adjustments may occur during the academic year, subject to the decision of the Dean